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Data & Analytics Consultant (Databricks / Azure)

Open 25d reposted 18× · 17 open copies

Summary

Consultant designs scalable data solutions on Azure/Databricks, translating business needs into KPIs and trusted analytics for decision-making.

About the Role

We are looking for an experienced Data & Analytics Consultant who can bridge the gap between business and technology.

This is not a typical Data Engineer position. We are seeking someone who combines strong technical expertise in modern data platforms with the ability to understand business processes, challenge requirements, facilitate workshops, and translate business needs into scalable analytical solutions.

You will work closely with business stakeholders, analysts, and technical teams to design data models, build data pipelines, define KPIs, and deliver trusted data products that support decision-making.

What We Offer

  • Long-term projects with modern Azure Data Platform technologies.
  • Opportunity to shape data products and business decisions.
  • High level of autonomy and influence.
  • Collaboration with experienced technical and business teams.
  • Flexible working model.

Technical Skills

  • Strong experience with Databricks.
  • Strong experience with Apache Spark (PySpark).
  • Advanced SQL skills.
  • Experience with Microsoft Azure.
  • Experience with Azure Data Factory (ADF).
  • Strong knowledge of ETL/ELT design and implementation.
  • Experience with batch and near real-time data processing.
  • Knowledge of Delta Lake (MERGE operations, versioning, optimization).
  • Understanding of Lakehouse architecture.
  • Experience with Unity Catalog and access management.
  • Experience with Power BI.
  • Understanding of Data Governance and Data Quality principles.

Business & Consulting Skills

  • Strong analytical thinking and problem-solving skills.
  • Ability to understand business processes and data dependencies.
  • Experience defining KPIs and analytical metrics together with business stakeholders.
  • Ability to translate business language into data models and technical solutions.
  • Experience conducting business workshops.
  • Strong requirements gathering and clarification skills.
  • Ability to identify gaps and inconsistencies in requirements.
  • Experience working in agile and changing environments.
  • Strong communication and stakeholder management skills.

Nice to Have

  • Experience in enterprise-scale Azure environments.
  • Experience in regulated industries such as energy, finance, healthcare, or telecommunications.
  • Experience working with executive stakeholders.

See also

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